Design of Experiments Statistical Principles of Research Design and Analysis

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Description: Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technologicalMore...

Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis.

Research Design Principles The Legacy of Sir Ronald A. Fisher

Planning for Research

Experiments, Treatments, and Experimental Units

Research Hypotheses Generate Treatment Designs

Local Control of Experimental Errors

Replication for Valid Experiments

How Many Replications?

Randomization for Valid Inferences

Relative Efficiency of Experiment Designs

From Principles to Practice: A Case Study

Getting Started with Completely Randomized Designs Assembling the Research Design

How to Randomize

Preparation of Data Files for the Analysis

A Statistical Model for the Experiment

Estimation of the Model Parameters with Least Squares

Sums of Squares to Identify Important Sources of Variation

A Treatment Effects Model

Degrees of Freedom

Summaries in the Analysis of Variance Table

Tests of Hypotheses About Linear Models

Significance Testing and Tests of Hypotheses

Standard Errors and Confidence Intervals for Treatment Means

Unequal Replication of the Treatments

How Many Replications of the F Test?

Appendix: Expected Values

Appendix: Expected Mean Squares

Treatment Comparisons Treatment Comparisons Answer Research Questions

Planning Comparisons Among Treatments

Response Curves for Quantitative Treatment Factors

Multiple Comparisons Affect Error Rates

Simultaneous Statistical Inference

Multiple Comparisons with the Best Treatment

Comparison of All Treatments with a Control

Pairwise Comparisons of All Treatments

Summary Comments on Multiple Comparisons

Appendix: Linear Functions of Random Variables

Diagnosing Agreement Between the Data and the Model Valid Analysis Depends on Valid Assumptions

Effects of Departures from Assumptions

Residuals Are the Basis of Diagnostic Tools

Looking for Outliers with the Residuals

Variance-Stabilizing Transformations for Data with Known Distributions

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost®
and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but
is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes
Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace"
orders are not eligible for free or discounted shipping.